3 months ago
Bengaluru, IndiaSenior
Responsibilities
- Own the architecture, implementation, and evolution of large-scale AWS data products and telemetry systems.
- Build and operate streaming and batch ETL/ELT pipelines processing terabytes of data daily with production reliability, scalability, freshness, and completeness SLAs.
- Design and govern canonical event schemas, standardized reusable data products, tenantized onboarding, and cross-layer session correlation.
- Develop real-time observability and analytical workloads supporting engagement, quality, risk, compliance, and operational monitoring.
- Write production-quality Java, Scala, and Python code using distributed data-processing systems and AWS-native services.
- Define and enforce data governance standards including schema governance, fine-grained access control, data classification, naming conventions, and lineage tracking.
- Identify systemic data-quality and architecture issues, lead root-cause resolution, and automate recurring manual processes.
- Document architectural decisions, data products, and design patterns for downstream consumers.
- Lead cross-team initiatives enabling GenAI capabilities through Amazon Quick Suite while maintaining security, access controls, and auditability.
- Mentor engineers, provide technical guidance, and lead architecture and design initiatives across teams.
Requirements
- 7+ years of data engineering experience.
- 5+ years of development, programming, or scripting language experience, including Python, Java, Bash, or Perl.
- Experience with AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2.
- Experience with data modeling, data warehousing, and ETL pipeline development.
- Experience mentoring or leading engineering teams, or leading architecture and design for reliable and scalable systems.
- Preferred experience with Big Data architecture, full application stacks, automation, and version-control tools.
- Preferred experience with Kafka, Redshift, data warehouse architectures, data modeling, infrastructure components, ETL/ELT, reporting and analytics tools, data structures, and hands-on SQL coding.
- Ability to work through ambiguity, influence cross-functional partners, and provide technical leadership.
Benefits
- Based in Bengaluru, working with a team distributed between Bengaluru and Seattle.
- High-autonomy role with cross-time-zone collaboration and ownership of outcomes end to end.
- Workplace accommodations and interview or onboarding support are available for candidates with disabilities.
Tech Stack
Categories
Data Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.